2023
DOI: 10.1007/s11760-023-02503-4
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Novel multiscale E-metric cross-sample entropy-based cardiac arrhythmia detection and its performance investigation in reference to multiscale cross-sample entropy-based analysis

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Cited by 7 publications
(2 citation statements)
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“…In recent years, the proliferation of network distance computation with increased mathematical assumptions has laid a solid foundation for graph-based network analysis. Indeed, network distance calculations not only be applied directly to networks, but also be employed to measure the distinction between two data sets, similar to the role of KL divergence, Wasserztein distance or cross entropy (see Al-Jarrah et al [7] and Sharma and Sunkaria [8]). This is because a graph or network framework is instructive for irregular/structured data, and by merging the network with the metric space, network distance facilitates to characterize the gap between two data structures or data sets.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the proliferation of network distance computation with increased mathematical assumptions has laid a solid foundation for graph-based network analysis. Indeed, network distance calculations not only be applied directly to networks, but also be employed to measure the distinction between two data sets, similar to the role of KL divergence, Wasserztein distance or cross entropy (see Al-Jarrah et al [7] and Sharma and Sunkaria [8]). This is because a graph or network framework is instructive for irregular/structured data, and by merging the network with the metric space, network distance facilitates to characterize the gap between two data structures or data sets.…”
Section: Introductionmentioning
confidence: 99%
“…A phenomenon of entropy measures is associated with its ability to characterize the rate of creation of valuable information in a dynamical system, identifying the level of uncertainty or the possibility of an indirect description of the number of available states, which can have a direct impact on many biological aspects [ 10 ]. The different kinds of entropy measures, in the forms of Shannon, Kolmogorov, approximate, or sample entropy, are involved in the analysis of electrophysiological signals, including cardiac rate variability [ 11 , 12 ], electromyography (EMG) [ 13 ], and electroencephalography (EEG) [ 14 ], to name but a few.…”
Section: Introductionmentioning
confidence: 99%